Where Frontier Systems Are Born.
Experimental AI research, autonomous agent prototypes, and edge robotics demonstrations.
Nirucraft Labs is our advanced applied research division. We continuously stress-test breakthrough AI architectures, novel quantization techniques, multi-agent frameworks, and real-time physical control systems before enterprise deployment.
Project Synapse — Hierarchical Multi-Agent Cloud Orchestrator
A distributed system of autonomous specialized agents capable of parsing high-level business goals, decomposing them into infrastructure tasks, and validating code deployments autonomously.
AuraVision — Micro-Watt Zero-Latency Object Tracking
Ultra-compact INT4 quantized spatial vision model running on 5-watt edge microcontrollers with sub-10ms object detection and 3D spatial velocity tracking.
NIRU-V3 Quad — Dynamic Terrestrial Path Planner
High-speed quadruped locomotion policy combining Model Predictive Control and Reinforcement Learning for navigating unstable gravel, stairs, and dynamic debris.
VectorCost — Predictive GPU/CPU Capacity & FinOps Engine
A reinforcement learning model that monitors distributed cloud telemetry to dynamically bid on spot compute, schedule batch training jobs, and preemptively scale down idle pods.
SentinelCore — Autonomous SRE Incident Remediation
Autonomous SRE agent that ingests OpenTelemetry distributed traces, isolates memory leaks or network bottlenecks, and executes verified remediation scripts without human waking.
GeoMesh — Dense 3D Gaussian Splatting for Digital Twins
Real-time photorealistic 3D spatial reconstruction pipeline turning robotic video feeds into navigable 3D Gaussian Splat digital twins for industrial facility monitoring.